Short Bio

I am currently at Google Brain/AI in Pittsburgh, working on hyperparameter optimization, Bayesian methods, and theoretical deep learning.

I am grateful to have graduated with a PhD in Applied Mathematics and Computer Science at UC Berkeley, where I was fortunate to be advised under Prof. Satish Rao and Prof. Nikhil Srivastava. My interests are in the intersection of optimization, theoretical computer science and machine learning. Previously, I graduated in the Great Class of 2014 from Princeton University.